add run sparsity_sweep_fine

applied/opt05_bitpack_popcount/sparsity_sweep_fine.summary.json

@@ -2,7 +2,7 @@
   "key": "opt05_bitpack_popcount/sparsity_sweep_fine",
   "tag": "sparsity_sweep_fine",
   "script": "opt05_bitpack_popcount.py",
-  "script_sha256_16": "5a6aac669f67a678",
+  "script_sha256_16": "7f7a320c342f81f7",
   "hf_folder": "applied/opt05_bitpack_popcount",
   "priority": 2,
   "note": "resolves the packed-vs-scatter crossover density in bitpack_bench.json",
@@ -48,25 +48,255 @@
   "epochs_requested": 60,
   "gpus": 2,
   "relative_epoch_cost": 1.0,
-  "exit_code": 1,
-  "status": "failed",
-  "duration_s": 181.0,
-  "started_utc": "2026-08-23T09:50:46.974441+00:00",
-  "finished_utc": "2026-08-23T09:53:48.001926+00:00",
-  "optimization_summary": null,
-  "final_summary": null,
-  "event_driven_summary": null,
-  "extra_sweep_file_present": false,
+  "exit_code": 0,
+  "status": "ok",
+  "duration_s": 196.4,
+  "started_utc": "2026-08-23T22:54:42.673932+00:00",
+  "finished_utc": "2026-08-23T22:57:59.098665+00:00",
+  "optimization_summary": {
+    "optimization": "bitpack_popcount",
+    "research_section": "3. Spike-Sparsity & MAC->AC Restructuring",
+    "reference": "SATA, arXiv:2204.05422; BMXNet/BiFSMNv2 popcount GEMM",
+    "script": "opt05_bitpack_popcount.py",
+    "baseline_mode": false,
+    "method": "harmonic_matched",
+    "accuracy": {
+      "test_acc": 0.9207142857142857,
+      "test_target_acc": 0.9207142857142857,
+      "best_val_acc": 0.9242857142857143
+    },
+    "efficiency": {
+      "spikes_per_inference": null,
+      "syn_ops_per_inference": 2273065.336850649,
+      "dense_macs_per_inference": 122675200.0,
+      "event_fraction_of_dense": 0.018529134958415794,
+      "syn_ops_per_inference_dense_fanout": 25115382.46266234,
+      "weight_sparsity": 0.7324707846410685,
+      "effective_ticks": 12.225714285714286,
+      "num_ticks": 100,
+      "membrane_bytes_per_inference": 451200,
+      "weight_bytes": 4907008,
+      "input_raster_bytes": 50400000,
+      "train_ms_per_step": 46.60649305001243,
+      "infer_ms_per_sample": 0.32181249843745263,
+      "peak_vram_mb": 475.024896
+    },
+    "optimization_specific": {
+      "bitpack": true,
+      "pack_hidden": false,
+      "popcount_readout": true,
+      "n_channels": 2880,
+      "packed_words_per_tick": 90,
+      "input_raster_bytes_uint8": 403200000,
+      "input_raster_bytes_packed": 50400000,
+      "memory_reduction_x": 8.0,
+      "mults_eliminated_per_inference": 2273065.336850649,
+      "pred_agreement_packed_vs_float": 1.0,
+      "popcount_counts_exact": true,
+      "crossover_density": 0.005,
+      "packed_ever_wins": true,
+      "packed_vs_scatter_ms": [
+        {
+          "density": 0.005,
+          "measured_density": 0.00505099818110466,
+          "scatter_ms": 0.18271446228027344,
+          "packed_ms": 0.052132606506347656,
+          "pack_ms": 0.15066146850585938,
+          "speedup_x": 3.5048019756699897,
+          "packed_wins": true,
+          "matches_scatter": true
+        },
+        {
+          "density": 0.01,
+          "measured_density": 0.010096571408212185,
+          "scatter_ms": 0.17961978912353516,
+          "packed_ms": 0.06733894348144531,
+          "pack_ms": 0.1487874984741211,
+          "speedup_x": 2.6673983854978047,
+          "packed_wins": true,
+          "matches_scatter": true
+        },
+        {
+          "density": 0.02,
+          "measured_density": 0.01987847313284874,
+          "scatter_ms": 0.18548965454101562,
+          "packed_ms": 0.05267620086669922,
+          "pack_ms": 0.15141010284423828,
+          "speedup_x": 3.521318004888205,
+          "packed_wins": true,
+          "matches_scatter": true
+        },
+        {
+          "density": 0.05,
+          "measured_density": 0.0499945767223835,
+          "scatter_ms": 0.2557849884033203,
+          "packed_ms": 0.0673675537109375,
+          "pack_ms": 0.14909744262695312,
+          "speedup_x": 3.7968573046432614,
+          "packed_wins": true,
+          "matches_scatter": true
+        },
+        {
+          "density": 0.1,
+          "measured_density": 0.0997178852558136,
+          "scatter_ms": 0.44235706329345703,
+          "packed_ms": 0.08060932159423828,
+          "pack_ms": 0.1821422576904297,
+          "speedup_x": 5.487666370896185,
+          "packed_wins": true,
+          "matches_scatter": true
+        },
+        {
+          "density": 0.2,
+          "measured_density": 0.20055881142616272,
+          "scatter_ms": 0.8553743362426758,
+          "packed_ms": 0.1244497299194336,
+          "pack_ms": 0.15151500701904297,
+          "speedup_x": 6.873251848729836,
+          "packed_wins": true,
+          "matches_scatter": true
+        },
+        {
+          "density": 0.35,
+          "measured_density": 0.3498643636703491,
+          "scatter_ms": 1.2200641632080078,
+          "packed_ms": 0.18867969512939453,
+          "pack_ms": 0.1557779312133789,
+          "speedup_x": 6.466324648083095,
+          "packed_wins": true,
+          "matches_scatter": true
+        },
+        {
+          "density": 0.5,
+          "measured_density": 0.500108540058136,
+          "scatter_ms": 1.4619207382202148,
+          "packed_ms": 0.2617454528808594,
+          "pack_ms": 0.1526165008544922,
+          "speedup_x": 5.585276543029949,
+          "packed_wins": true,
+          "matches_scatter": true
+        },
+        {
+          "density": 0.75,
+          "measured_density": 0.7519314289093018,
+          "scatter_ms": 1.6306257247924805,
+          "packed_ms": 0.4089784622192383,
+          "pack_ms": 0.1500988006591797,
+          "speedup_x": 3.9870699203674986,
+          "packed_wins": true,
+          "matches_scatter": true
+        }
+      ],
+      "popcount_vs_loop_ms": {
+        "loop_ms": 0.013418197631835938,
+        "popcount_ms": 0.03879070281982422,
+        "speedup_x": 0.34591272280270435
+      }
+    },
+    "config": {
+      "method": "harmonic_matched",
+      "data_root": "/kaggle/working/data",
+      "subjects": "",
+      "blocks": "",
+      "limit": 0,
+      "drop_rest": true,
+      "resplit": "block",
+      "test_blocks": "6",
+      "class_weight": false,
+      "epochs": 60,
+      "batch_size": 64,
+      "lr": 0.002,
+      "weight_decay": 0.0005,
+      "grad_clip": 5.0,
+      "num_bins": 100,
+      "window_sec": 5.0,
+      "hidden": "512,256",
+      "freq_groups": 8,
+      "dropout": 0.3,
+      "spike_drop": 0.1,
+      "time_jitter": 2,
+      "label_smoothing": 0.05,
+      "no_batchnorm": false,
+      "binary_input": true,
+      "beta": 1.0,
+      "thresh": 1.0,
+      "window": 0.5,
+      "gain": 1.0,
+      "alpha": 0.9,
+      "readout": "spikecount",
+      "fake_quant": 0,
+      "amp": false,
+      "spike_reg": 0.0,
+      "event_eval": true,
+      "decision_margin": 2.0,
+      "export": false,
+      "seed": 1234,
+      "hub_dir": "/kaggle/working/hub/opt05_bitpack_popcount/sparsity_sweep_fine",
+      "repo_id": "UWU-R-13/SSVEP-SNN",
+      "push_hf": false,
+      "keep_epoch_weights": 1,
+      "no_resume": true,
+      "selftest": false,
+      "baseline": false,
+      "bench": true,
+      "bench_warmup": 10,
+      "bench_iters": 50,
+      "bench_train_steps": 20,
+      "bitpack": true,
+      "pack_hidden": false,
+      "popcount_readout": true,
+      "sparsity_sweep": "0.005,0.01,0.02,0.05,0.1,0.2,0.35,0.5,0.75",
+      "sampling_rate": 250.0
+    }
+  },
+  "final_summary": {
+    "final_test_acc": 0.9207142857142857,
+    "final_test_target_acc": 0.9207142857142857,
+    "final_test_rest_recall": NaN,
+    "best_acc": 0.9242857142857143,
+    "best_epoch": 55,
+    "resplit": "block",
+    "class_weight": false,
+    "drop_rest": true,
+    "epochs": 60,
+    "method": "harmonic_matched",
+    "n_in": 2880,
+    "n_classes": 40,
+    "num_bins": 100
+  },
+  "event_driven_summary": {
+    "acc": 0.9207142857142857,
+    "anytime_acc": {
+      "0.25": 0.5421428571428571,
+      "0.5": 0.7942857142857143,
+      "0.75": 0.885,
+      "1.0": 0.9207142857142857
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+    "syn_per_inference": 2273065.336850649,
+    "dense_per_inference": 122675200.0,
+    "event_fraction_of_dense": 0.018529134958415794,
+    "syn_per_inference_dense_fanout": 25115382.46266234,
+    "weight_sparsity": 0.7324707846410685,
+    "num_ticks": 100,
+    "dt_ms": 50.0,
+    "margin_decision_acc": 0.31857142857142856,
+    "mean_decision_tick": 12.225714285714286,
+    "mean_decision_ms": 611.2857142857143,
+    "popcount_pred_agreement": 1.0,
+    "popcount_counts_exact": true,
+    "dense_forward_test_acc": 0.9207142857142857
+  },
+  "extra_sweep_file_present": true,
   "selftest": {
     "mode": "gate",
     "passed": true
   },
   "driver_version": 1,
   "zip": {
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-    "bytes": 10445403,
-    "MB": 10.4,
-    "sha256": "b53192924d338033f3c8b45f1957201727daf6241f734fd271530d58bfa47f40"
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+    "sha256": "486884c38e31844daef343f4b99e8f974045b1f9a9cd99ad92ed4f5a3bd47fcd"
   }
 }

applied/opt05_bitpack_popcount/sparsity_sweep_fine.zip

@@ -0,0 +1,3 @@
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